David King

4.1k citations
169 papers · 2.5k · h-index 23

Impact in

Papers in

David King

157 papers receiving 2.2k citations

Peers

David King
Comparison fields: 5 of 198
  • Catalysis 360
  • Instrumentation 61
  • Astronomy and Astrophysics 274
  • Renewable Energy, Sustainability and the Environment 182
  • Developmental and Educational Psychology 132
Replace Lei Shi with:
Lei Shi China
Yu Pan China
Davide Castelvecchi United States
Kunihiko Oka Japan
Tae Wan Kim South Korea
Robert Frank Weiss United States
Vittorio Scarano Italy
Peter A. Knight United States
W. J. McGill South Africa
Jae Yong Lee South Korea
David King relative to Lei Shi China Lei Shi's profile →
Citations per field
00.5×10×15×21.1×
Lei Shi · 1×
Citations per year

Countries citing papers authored by David King

Since Specialization
Citations

This map shows the geographic impact of David King's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David King more than expected).

Fields of papers citing papers by David King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David King. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David King. The network helps show where David King may publish in the future.

Co-authors

The 25 scholars most cited alongside David King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David King Line = papers co-authored together David King links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999258
2 2007157
3 1978151
4 2006131
5 1987128
6 198898
7 200275
8 198064
9 200864
10
Natal and neonatal teeth.
199549
11 198348
12 199944
13 199843
14 196041
15 200738
16 200937
17 200331
18 198630
19 201829
20
WOMEN AS CANDIDATES IN CONGRESSIONAL ELECTIONS
200228

About David King

David King is a scholar working on Electrical and Electronic Engineering, Astronomy and Astrophysics, Artificial Intelligence, Developmental and Educational Psychology and Renewable Energy, Sustainability and the Environment, having authored 169 papers that have together received 2.5k indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (19 papers), Astrophysics and Star Formation Studies (13 papers), solar cell performance optimization (9 papers), Electric Power System Optimization (9 papers), Catalytic Processes in Materials Science (9 papers), Energy Load and Power Forecasting (8 papers), Photovoltaic System Optimization Techniques (8 papers) and Innovative Teaching and Learning Methods (7 papers). The work is most often cited by research in Catalysis (360 citations), Instrumentation (61 citations), Astronomy and Astrophysics (274 citations), Renewable Energy, Sustainability and the Environment (182 citations) and Developmental and Educational Psychology (132 citations). David King has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include C.S. Özveren, R. W. Hilditch, Pari Antoniw, Shauna West, Andrew P. Chapman, Mariangela Spitali, Y WANG, Hyun‐Seog Roh, Ya Huei Chin and S. M. Heald. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, SAE technical papers on CD-ROM/SAE technical paper series, Journal of Catalysis, The Journal of General Psychology and The Psychological Record.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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